• DocumentCode
    671754
  • Title

    Infrared face recognition: A literature review

  • Author

    Ghiass, Reza Shoja ; Arandjelovic, Ognjen ; Bendada, Hakim ; Maldague, X.

  • fYear
    2013
  • fDate
    4-9 Aug. 2013
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Automatic face recognition (AFR) is an area with immense practical potential which includes a wide range of commercial and law enforcement applications, and it continues to be one of the most active research areas of computer vision. Even after over three decades of intense research, the state-of-the-art in AFR continues to improve, benefiting from advances in a range of different fields including image processing, pattern recognition, computer graphics and physiology. However, systems based on visible spectrum images continue to face challenges in the presence of illumination, pose and expression changes, as well as facial disguises, all of which can significantly decrease their accuracy. Amongst various approaches which have been proposed in an attempt to overcome these limitations, the use of infrared (IR) imaging has emerged as a particularly promising research direction. This paper presents a comprehensive and timely review of the literature on this subject.
  • Keywords
    face recognition; infrared imaging; lighting; AFR; IR; automatic face recognition; commercial applications; computer graphics; expression changes; facial disguises; illumination; image processing; infrared face recognition; law enforcement applications; pattern recognition; physiology; pose changes; visible spectrum images; Face; Face recognition; Feature extraction; Imaging; Lighting; Robustness; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2013 International Joint Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4673-6128-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2013.6707096
  • Filename
    6707096